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Direct differential range estimation using optical masks

Eero P. Simoncelli1 and Hany Farid1

(1)  GRASP Laboratory, University of Pennsylvania, 19104 Philadelphia, PA, USA
Abstract
We describe a novel formulation of the range recovery problem, based on computation of the differential variation in image intensities with respect to changes in camera position. The method uses a single stationary camera and a pair of calibrated optical masks to directly measure this differential quantity. The subsequent computation of the range image is simple and should be suitable for real-time implementation. We also describe a variant of this technique, based on direct measurement of the differential change in image intensities with respect to aperture size. These methods are comparable in accuracy to other single-lens ranging techniques. We demonstrate the potential of our approach with a simple example.
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